An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》
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Updated
Jul 22, 2020 - Python
An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》
Using fourier feature mapping Strengthen GON (《Gradient Origin Networks》)'s performance
Using Fourier Feature Embedding within Neural Radiance Fields on Procedural Noise Functions tasks with focus on Perlin Noise.
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